★起源自作者在NICONICO投稿的初音未來樂曲「人造エネミー」， 在網路各界的推波助瀾之下，成為巨大的跨媒體企畫。 ★由創作者親自執筆的本作，也成為最官方的設定，是眾多支持者矚目的焦點。 ★除了音樂、小說、漫畫之外，也公布了動畫化的消息。 投稿樂曲的相關動畫播放次數超過千萬的超人氣創作者じん（自然の敵P）。 由本人創作的全新故事小說在此登場！ 串連所有相關樂曲的故事首次揭曉，引來更深的「謎團」！ ──這是在八月十四日、十五日發生的事。嘈雜的蟬鳴，晃動的陽炎。 以炎炎夏日某天某城市發生的事件為中心，各種視點漸漸糾結…… 全新感覺的燦爛青春娛樂小說！

After a heavy snowfall cancels school, Pete enjoys his day off, but when one snow day turns into many, he realizes that you can have too much of a good thing.

『カゲロウデイズ』他、関連動画再生数1000万超の物語がここに! 本人書き下ろし小说登場! 『カゲロウデイズ』他、ニコニコ動画に投稿された楽曲の関連動画再生数が1000万を超える超人気クリエイター・じん(自然の敵P)。その本人による書き下ろし小说が登場! 全ての関連楽曲を繋ぐ物語が初めて明かされる! ――これは、8月14日と15日の物語。やけに煩い蝉の声、立ち揺らめくカゲロウ。真夏日のある日にある街で起こった一つの事件を中心に、様々な視点が絡み合っていく……。 新感覚の燦然たるエンタテインメント体験がここに! 『目』が眩むほどの衝撃を見逃すな! ≪插图作者≫しづ

Many real-world problems can be broken down into tasks that require a series of decisions to be made or actions to be taken. The ability to solve such tasks without a machine being programmed requires a machine to be artificially intelligent and capable of learning to adapt. This book is an easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential decision making and control tasks.Hands-On Intelligent Agents with OpenAI Gym takes you through the process of building intelligent agent algorithms using deep reinforcement learning starting from the implementation of the building blocks for configuring, training, logging, visualizing, testing, and monitoring the agent. You will walk through the process of building intelligent agents from scratch to perform a variety of tasks. In the closing chapters, the book provides an overview of the latest learning environments and learning algorithms, along with pointers to more resources that will help you take your deep reinforcement learning skills to the next level.

From Descartes to designer babies, "The Philosophy Gym" poses questions about some of history's most important philosophical issues, ranging in difficulty from pretty easy to very challenging. He brings new perspectives to age-old conundrums while also tackling modern-day dilemmas -- some for the first time. Begin your warm up by contemplating whether a pickled sheep can truly ...(展开全部)

近年来，机器学习受到了人们的广泛关注。本书面向普通大众，指导读者在Python（基于Chainer和OpenAI Gym）中实践深度强化学习。读者只需要具备一些基本的编程经验即可读懂书中内容，通过实现具体程序来掌握深度强化学习的相关知识。本书内容：介绍深度学习、强化学习和深度强化学习的基本知识。通过多种实际对战游戏（如太空侵略者、吃豆人）来介绍算法，如ε-greedy算法。使用Anaconda设置本地PC，在倒立摆和老鼠学习问题中实现深度强化学习。使用Python实现MNIST手写数字分类任务。实现深度强化学习的基本算法DQN。详解继DQN之后提出的新的深度强化学习技术（DDQN、PER-DQN、DDPG和A3C等）。

Editorial Reviews Review “Mark Lauren puts the strength-training techniques of SpecOps into a comprehensive and easy to understand program that can be done by anyone, anywhere, anytime, paving the way for anyone looking to get into the best shape of his or her life.”—Gregory Peterman, sergeant, Green Beret “Gain control of yourself through your own body’s gym!”—Mike Fisher, co...(展开全部)

Editorial Reviews Review “Mark Lauren puts the strength-training techniques of SpecOps into a comprehensive and easy to understand program that can be done by anyone, anywhere, anytime, paving the way for anyone looking to get into the best shape of his or her life.”—Gregory Peterman, sergeant, Green Beret “Gain control of yourself through your own body’s gym!”—Mike Fisher, co...(展开全部)

这是一本介绍用 OpenAI Gym 构建智能体的实战指南。全书先简要介绍智能体和学习环境的一些入门知识，概述强化学习和深度强化学习的基本概念和知识点，然后重点介绍 OpenAI Gym 的相关内容，随后在具体的 Gym 环境中运用强化学习算法构建智能体。本书还探讨了这些算法在游戏、自动驾驶领域的应用。 本书适合想用 OpenAI Gym 构建智能体的读者阅读，也适合对强化学习和深度强化学习感兴趣的读者参考。读者应具备一定的 Python 编程基础。

这是一本介绍用 OpenAI Gym 构建智能体的实战指南。全书先简要介绍智能体和学习环境的一些入门知识，概述强化学习和深度强化学习的基本概念和知识点，然后重点介绍 OpenAI Gym 的相关内容，随后在具体的 Gym 环境中运用强化学习算法构建智能体。本书还探讨了这些算法在游戏、自动驾驶领域的应用。 本书适合想用 OpenAI Gym 构建智能体的读者阅读，也适合对强化学习和深度强化学习感兴趣的读者参考。读者应具备一定的 Python 编程基础。